Fraught with tension? A machine-learning approach to termination traits of public corporations in English and German local governments

Maike Rackwitz

Public Management Review, 2024, vol. 26, issue 6, 1631-1657

Abstract: Corporatization has gained scholarly attention in recent years, yet little is known regarding why many corporations are eventually terminated, and what happens to their form and functions thereafter. Reinternalizing services is one option local governments may pursue. This paper focuses on the impact of tensions (systemic contradictions) on this final resolution reached: Do local governments choose or refuse reinternalization? Conducting machine learning, I predict termination outcomes based on an original dataset of 244 ceased English and German companies (2010–2020). The results show that macrosystemic tensions are more relevant for resourcing decisions and reinternalization is less likely to be caused by formal ownership issues.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/14719037.2023.2204323 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rpxmxx:v:26:y:2024:i:6:p:1631-1657

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rpxm20

DOI: 10.1080/14719037.2023.2204323

Access Statistics for this article

Public Management Review is currently edited by Stephen P. Osborne

More articles in Public Management Review from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().